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AI mentions your brand. It never recommends it. Here is the difference.

ChatGPT mentions us in 58% of answers and recommends us in 0%. The gap between being seen and being chosen is where AI search is won, and almost nobody measures it.

Por WhoCanFindMe2 minutos de lectura
A row of seven navy asterisk marks under a radar sweep arc, four circled in amber as catalogued mentions, while one blue asterisk stands apart on a pedestal with a laurel wreath and checkmark, the one actually recommended.

We ran our own measurement tool on ourselves. ChatGPT mentioned us in 58% of answers to real buyer questions. It recommended us in 0% of them.

If you had asked us before the test, we would have guessed the two numbers moved together. They do not. And the gap between them is where most businesses are quietly losing customers right now.

What mentioned actually gets you

When an AI answer mentions your brand, you appear as part of the landscape. Tools in this space include X, Y and Z. It is name recognition, and it is worth something. But the person asking did not ask for a landscape. They asked what they should use.

A mention puts you in the answer. It does not put you in the decision.

What recommended gets you

A recommendation is the AI answering the actual question: for your situation, use this one. That is the line that moves a buyer. When ChatGPT or Perplexity names one product as the thing to try, a meaningful share of people simply do that. No comparison shopping, no page two, no ten open tabs.

Classic search sent people to a results page and let them decide. AI search increasingly decides first and explains itself second. Being the recommendation is the new ranking first, except there is usually only one spot.

Two different outcomes inside the same AI answer.
MentionedRecommended
Where you appearPart of the listThe verdict
What the buyer does nextKeeps readingActs on it
Who measures itA few toolsAlmost nobody

Why the gap exists

In our own audit, the pattern was clear once we read the actual AI answers rather than the scores. We showed up on brand queries, where someone already knew our name. We disappeared on discovery queries, where someone described a problem and asked what solves it.

AI engines recommend brands they can attach to a specific need, backed by sources they trust: comparison pages, reviews, structured descriptions of who a product serves and when it is the right choice. If that evidence is thin, you get mentioned as a name and skipped as an answer.

How to find out where you stand

Ask an AI engine the questions your buyers actually ask. Not what is your brand, but what should I use for the problem you solve. Do it several times, because answers vary run to run. Note two separate things: whether you appear at all, and whether you are the one being recommended.

Most businesses have never done this once. The ones that do usually find a version of our own result: present in the conversation, absent from the verdict. That gap is measurable, and it is fixable. But only if you know it is there.

The free scan shows your numbers in a few seconds. No signup, and you get a link you can share with whoever needs to see it.

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GEO, Measurement

Three ways a brand appears in an AI answer. Only one counts.

When your brand name shows up in an AI answer, one of three things has happened: a real mention, an echo of your own question, or an answer about a different company with a similar name. Only the first is visibility. We classify every answer and score the other two as zero.

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